Key components

1. Metadata strategy This covers ability to "find data" based on keywords. Inability to discover the data defeats the purpose of build Data Warehouse

Defining key metrics or key performance indicators is important. The rules should be exposed so everyone understands how these are calculated. Example are CLV - Customer Lifetime Value. How important is the customer to the organization? ARPU - Average revenue per user CAC - Customer acquisition cost

2. Access control and governance

3. Data Lifecycle Hot and Cold data Retention & archive/purge rules